Oracle 10g 增强的导入导出工具 expdp/impdp[Linux]
1. 创建目录,导入导出前都必须先创建 directory # sqlplus / as sysdbagt; create directory dump_dir as
步骤:
1. 创建目录,导入导出前都必须先创建 directory
# sqlplus / as sysdba
> create directory dump_dir as '/home/Oracle/dump';
注意: dump_dir 指向实际的物理路径 /home/oracle/dump, /home/oracle/dump 目录必须存在。
2. 授权给相应用户读写目录权限
> grant read,write on directory dump_dir to linuxidc;
3. 导出
--从数据库 orcl 导出 linuxidc 用户下的表结构及数据,但不包括表 JK_COMPANY_VIDICON_INFO.
expdp linuxidc/linuxidc@orcl directory=dump_dir dumpfile=test4.dmp nologfile=y exclude=table:\"in \(\'JK_COMPANY_VIDICON_INFO\'\)\"
注意: 如果expdp的参数是直接写在命令行中,则如本例中 exclude 的值需要添加转义符 '\'. 如果放在
*.par 参数文件中,则无需加转义符,添加反而会报错误。表名要大写。
--导出指定表 jk_company_vidicon_info:
expdp linuxidc/linuxidc@orcl directory=dump_dir dumpfile=test5.dmp nologfile=y tables=jk_company_vidicon_info
4. 导入
--将原方案 linuxidc 中的对象依旧导入 linuxidc 这个方案下,,并非 idcfree 这个方案,存在表冲突时使用替换操作
impdp idcfree/idcfree@orcl directory=dump_dir dumpfile=test4.dmp nologfile=y schemas=linuxidc table_exists_action=replace
--将原方案 linuxidc 中的对象导入新方案 idcfree 中
impdp idcfree/idcfree@orcl directory=dump_dir dumpfile=test4.dmp nologfile=y remap_schema=linuxidc:idcfree
5. 使用参数文件 *.par 举例
# vi exp_table.par
DIRECTORY=dump_dir
DUMPFILE=expdp_linuxidc.dmp
LOGFILE=expdp_linuxidc.log
CONTENT=METADATA_ONLY
# expdp linuxidc/linuxidc@orcl parfile=exp_table.par
------------------------
# vi exp_evwp.par
directory=dump_dir
dumpfile=test3.dmp
nologfile=y
exclude=table:"in ('JK_COMPANY_VIDICON_INFO')"
# expdp evwp/evwp@orcl parfile=exp_evwp.par

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is suitable for small and large enterprises. 1) Small businesses can use MySQL for basic data management, such as storing customer information. 2) Large enterprises can use MySQL to process massive data and complex business logic to optimize query performance and transaction processing.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.
